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      <p>
    Among others, the following are some typical use cases where dbstl
    would be prefered over C++ STL: 
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                Working with a large amount of data, more than can
                reside in memory. Using C++ STL would force a number
                of page swaps, which will degrade performance. When
                using dbstl, data is stored in a database and Berkeley
                DB ensures the needed data is in memory, so that the
                overall performance of the machine is not slowed down.
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            <p> 
                Familiar Interface. dbstl provides a familiar
                interface to Berkeley DB, hiding the marshalling and
                unmashalling details and automatically managing
                Berkeley DB structures and objects. 
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                Transaction semantics. dbstl provides the ACID
                properties (or a subset of the ACID properties) in
                addition to supporting all of the STL functionality.
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                Concurrent access. Few (if any) existing C++ STL
                implementations support reading/writing to the same
                container concurrently, dbstl does. 
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                Object persistence. dbstl allows your application
                to store objects in a database, and use the objects
                across different runs of your application. dbstl is
                capable of storing complicated objects which are not
                located in a contiguous chunk of memory, with some
                user configurations. 
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